2019
DOI: 10.1007/978-3-030-30179-8_21
|View full text |Cite
|
Sign up to set email alerts
|

Simplifying Automated Pattern Selection for Planning with Symbolic Pattern Databases

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 15 publications
0
2
0
Order By: Relevance
“…Knowing that the time spent searching for a plan is short (7.2% of all planning time), we will investigate if it is possible to add planners [9] that search for better quality plans. Comparisons between different types of heuristics [10] will tell us if using a Plan Library, makes it possible to use classical optimal planners in planning for robotics.…”
Section: Discussionmentioning
confidence: 99%
“…Knowing that the time spent searching for a plan is short (7.2% of all planning time), we will investigate if it is possible to add planners [9] that search for better quality plans. Comparisons between different types of heuristics [10] will tell us if using a Plan Library, makes it possible to use classical optimal planners in planning for robotics.…”
Section: Discussionmentioning
confidence: 99%
“…Interestingly, there exist a variety of generalizations of A based on different symbolic data structures (Edelkamp and Reffel 1998;Hansen, Zhou, and Feng 2002;Speck, Geißer, and Mattmüller 2018a). In addition, multiple heuristics can be computed and represented with symbolic data structures, resulting in state-of-the-art heuristics for explicit heuristic search (Edelkamp 2002;Franco et al 2017;Moraru et al 2019). Thus, all the ingredients are present to allow a symbolic planner utilizing Copyright c 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org).…”
Section: Introductionmentioning
confidence: 99%